A multi-camera network system for markerless 3D human body voxel reconstruction

Tao Yang, Yanning Zhang, Meng Li, Dapei Shao, Xingong Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Scopus citations

Abstract

This paper presents a fully automated system for realtime 3D human visual hull reconstruction and skeleton voxels extraction. The main contributions include: (1) A novel network based system is presented, which uses AXIS network cameras as video capture device, and performs a parallel processing among data capture, 3D voxel reconstruction and display. (2) A new human visual hull reconstruction algorithm is given. This approach firstly segments the foreground accurately by an efficient Gaussian Mixture Model (GMM) and a shadow model in HSV color space, then extends the standard Shape-From-Silhouette (SFS) algorithm with online Region-of-Interest (ROI) estimation and binary searching, and finally construct skeleton probability visual hull with distance transform. Experiments with real video sequences show that the system can process eleven 640×480 video sequences at a frame rate of 15fps, and construct human body voxels reliably in complex scenarios with cast shadows, various body configurations and multiple persons.

Original languageEnglish
Title of host publicationProceedings of the 5th International Conference on Image and Graphics, ICIG 2009
PublisherIEEE Computer Society
Pages706-711
Number of pages6
ISBN (Print)9780769538839
DOIs
StatePublished - 2009
Event5th International Conference on Image and Graphics, ICIG 2009 - Xi'an, Shanxi, China
Duration: 20 Sep 200923 Sep 2009

Publication series

NameProceedings of the 5th International Conference on Image and Graphics, ICIG 2009

Conference

Conference5th International Conference on Image and Graphics, ICIG 2009
Country/TerritoryChina
CityXi'an, Shanxi
Period20/09/0923/09/09

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